468 search results - page 40 / 94 » Riemannian Manifold Learning |
151
Voted
JMLR
2006
15 years 1 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
124
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WSOM
2009
Springer
15 years 8 months ago
2009
Springer
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
133
Voted
MM
2006
ACM
15 years 7 months ago
2006
ACM
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
148
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ICIP
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
89
Voted
CVPR
2004
IEEE
16 years 3 months ago
2004
IEEE